1 /* Copyright 2015 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations under the License. 14 ==============================================================================*/ 15 16 #if GOOGLE_CUDA 17 18 #define EIGEN_USE_GPU 19 20 #include "tensorflow/core/kernels/reduction_gpu_kernels.cu.h" 21 22 namespace tensorflow { 23 namespace functor { 24 25 typedef Eigen::GpuDevice GPUDevice; 26 27 // Derive Index type. int (32-bit) or long (64-bit) depending on the 28 // compile-time configuration. "float" here is not relevant. 29 // TODO(zhifengc): Moves the definition to TTypes. 30 typedef TTypes<float>::Tensor::Index Index; 31 32 // T: the data type 33 // REDUCER: the reducer functor 34 // NUM_AXES: the number of axes to reduce 35 // IN_DIMS: the number of dimensions of the input tensor 36 #define DEFINE(T, REDUCER, IN_DIMS, NUM_AXES) \ 37 template void ReduceFunctor<GPUDevice, REDUCER>::Reduce( \ 38 OpKernelContext* ctx, TTypes<T, IN_DIMS - NUM_AXES>::Tensor out, \ 39 TTypes<T, IN_DIMS>::ConstTensor in, \ 40 const Eigen::array<Index, NUM_AXES>& reduction_axes, \ 41 const REDUCER& reducer); 42 43 #define DEFINE_IDENTITY(T, REDUCER) \ 44 template void ReduceFunctor<GPUDevice, REDUCER>::FillIdentity( \ 45 const GPUDevice& d, TTypes<T>::Vec out, const REDUCER& reducer); 46 47 #define DEFINE_FOR_TYPE_AND_R(T, R) \ 48 DEFINE(T, R, 1, 1); \ 49 DEFINE(T, R, 2, 1); \ 50 DEFINE(T, R, 3, 1); \ 51 DEFINE(T, R, 3, 2); \ 52 DEFINE_IDENTITY(T, R) 53 54 #define DEFINE_FOR_ALL_REDUCERS(T) \ 55 DEFINE_FOR_TYPE_AND_R(T, Eigen::internal::SumReducer<T>); \ 56 DEFINE_FOR_TYPE_AND_R(T, Eigen::internal::MeanReducer<T>); \ 57 DEFINE_FOR_TYPE_AND_R(T, Eigen::internal::MinReducer<T>); \ 58 DEFINE_FOR_TYPE_AND_R(T, Eigen::internal::MaxReducer<T>); \ 59 DEFINE_FOR_TYPE_AND_R(T, Eigen::internal::ProdReducer<T>) 60 61 DEFINE_FOR_ALL_REDUCERS(float); 62 #undef DEFINE_FOR_ALL_REDUCERS 63 #undef DEFINE_FOR_TYPE_AND_R 64 #undef DEFINE 65 66 } // end namespace functor 67 } // end namespace tensorflow 68 69 #endif // GOOGLE_CUDA 70
